Mobility Patterns in Different Age Groups in Japan during the COVID-19 Pandemic: a Small Area Time Series Analysis through March 2021.
Mobility Patterns in Different Age Groups in Japan during the COVID-19 Pandemic: a Small Area Time Series Analysis through March 2021.
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DOI：
10.1007/s11524-021-00566-7
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发表时间：
2021-10
期刊：
影响因子：
--
通讯作者：
Miyata H
中科院分区：
文献类型：
--
作者：
Nomura S;Tanoue Y;Yoneoka D;Gilmour S;Kawashima T;Eguchi A;Miyata H
在 COVID-19 时代，行动限制对于减缓病毒传播至关重要，并且已在包括日本在内的世界大部分地区实施。为了找到有关日本紧急状态声明所鼓励（但不是强制）的人员流动和流动限制的新见解，我们分析了 2019 年 9 月 1 日至 2021 年 3 月 19 日期间日本 35 个主要车站和市中心地区的流动数据（每个区域定义为由多个 125 米网格覆盖的区域）。每小时通过每个区域的独特个人总数的数据来自雅虎日本公司（即超过 13,500 条数据）每个区域的分数）。我们研究了 5 个时间范围内按 10 岁年龄组划分的总人口 7 天滚动每日平均值与 2020 年 1 月 16 日基线之比的时间趋势。我们证明，宣布紧急状态后流动性下降的程度和趋势在不同年龄组甚至次区域层面上存在差异。我们证明，监测按详细人口特征分层的动态地理和时间流动信息不仅可以帮助指导当前紧急声明的退出策略，还可以帮助指导下一次可能的复苏之前的初步应对策略。将此类详细数据与疫苗接种覆盖率和 COVID-19 发病率（包括医疗保健提供系统的状况）数据相结合，可以帮助政府和地方当局制定针对社区的行动限制政策。这可能包括加强呆在家里的激励措施，并提高人们对认知错误的认识，这些错误会削弱人们避免不必要的活动的决心。在线版本包含可在 10.1007/s11524-021-00566-7 获取的补充材料。
In the COVID-19 era, movement restrictions are crucial to slow virus transmission and have been implemented in most parts of the world, including Japan. To find new insights on human mobility and movement restrictions encouraged (but not forced) by the emergency declaration in Japan, we analyzed mobility data at 35 major stations and downtown areas in Japan—each defined as an area overlaid by several 125-meter grids—from September 1, 2019 to March 19, 2021. Data on the total number of unique individuals per hour passing through each area were obtained from Yahoo Japan Corporation (i.e., more than 13,500 data points for each area). We examined the temporal trend in the ratio of the rolling seven-day daily average of the total population to a baseline on January 16, 2020, by ten-year age groups in five time frames. We demonstrated that the degree and trend of mobility decline after the declaration of a state of emergency varies across age groups and even at the subregional level. We demonstrated that monitoring dynamic geographic and temporal mobility information stratified by detailed population characteristics can help guide not only exit strategies from an ongoing emergency declaration, but also initial response strategies before the next possible resurgence. Combining such detailed data with data on vaccination coverage and COVID-19 incidence (including the status of the health care delivery system) can help governments and local authorities develop community-specific mobility restriction policies. This could include strengthening incentives to stay home and raising awareness of cognitive errors that weaken people's resolve to refrain from nonessential movement. The online version contains supplementary material available at 10.1007/s11524-021-00566-7.
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